| 2022 | A Biased Sampling Method for Imbalanced Personalized Ranking. Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang |
| 2022 | A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay. Ahmad Ajalloeian, Michalis Vlachos, Johannes Schneider, Alexis Steinmann |
| 2022 | A Context-Enhanced Generate-then-Evaluate Framework for Chinese Abbreviation Prediction. Hanwen Tong, Chenhao Xie, Jiaqing Liang, Qianyu He, Zhiang Yue, Jingping Liu, Yanghua Xiao, Wenguang Wang |
| 2022 | A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction. Kaiyan Cao, Deqing Yang, Jingping Liu, Jiaqing Liang, Yanghua Xiao, Feng Wei, Baohua Wu, Quan Lu |
| 2022 | A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. Luca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli |
| 2022 | A Different VIM: Visualizing Incremental Machine Learning. Sikder Tahsin Al-Amin, Mohammad Imtiaz Nur, Aisha Farooque, Guoning Chen, Robin Varghese, Carlos Ordonez |
| 2022 | A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy. Wanjie Tao, Zhang-Hua Fu, Liangyue Li, Zulong Chen, Hong Wen, Yuanyuan Liu, Qijie Shen, Peilin Chen |
| 2022 | A GPU-based Graph Pattern Mining System. Lin Hu, Lei Zou |
| 2022 | A Graph-based Spatiotemporal Model for Energy Markets. Swati Sharma, Srinivasan Iyengar, Shun Zheng, Kshitij Kapoor, Wei Cao, Jiang Bian, Shivkumar Kalyanaraman, John Lemmon |
| 2022 | A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. Yuexin Wu, Xiaolei Huang |
| 2022 | A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction. Hai Li, Xin Dong, Lei Cheng, Linjian Mo |
| 2022 | A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation. Hang Zhang, Hao Wang, Guifeng Wang, Jiayu Liu, Qi Liu |
| 2022 | A Mask-based Output Layer for Multi-level Hierarchical Classification. Tanya Boone-Sifuentes, Mohamed Reda Bouadjenek, Imran Razzak, Hakim Hacid, Asef Nazari |
| 2022 | A Model-Centric Explainer for Graph Neural Network based Node Classification. Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay |
| 2022 | A Multi-Domain Benchmark for Personalized Search Evaluation. Elias Bassani, Pranav Kasela, Alessandro Raganato, Gabriella Pasi |
| 2022 | A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention. Yuqi Qin, Pengfei Wang, Biyu Ma, Zhe Zhang |
| 2022 | A Multi-grained Dataset for News Event Triggered Knowledge Update. Yu-Ting Lee, Ying-Jhe Tang, Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li, Hen-Hsen Huang |
| 2022 | A Multi-granularity Network for Emotion-Cause Pair Extraction via Matrix Capsule. Cheng Yang, Zhongwei Zhang, Jie Ding, Wenjun Zheng, Zhiwen Jing, Ying Li |
| 2022 | A Platform for Argumentative Zoning Annotation and Scientific Summarization. Alaa El-Ebshihy, Annisa Maulida Ningtyas, Linda Andersson, Florina Piroi, Andreas Rauber |
| 2022 | A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems. Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu, Hua Wu |
| 2022 | A Preliminary Exploration of Extractive Multi-Document Summarization in Hyperbolic Space. Mingyang Song, Yi Feng, Liping Jing |
| 2022 | A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao |
| 2022 | A Real-time Post-processing System for Itinerary Recommendation. Linge Jiang, Guiyang Wang, Zhibo Zhu, Binghao Wang, Runsheng Gan, Ziqi Liu, Jun Zhou |
| 2022 | A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation. Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen |
| 2022 | A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. Li Sun, Junda Ye, Hao Peng, Philip S. Yu |
| 2022 | A Simple Meta-path-free Framework for Heterogeneous Network Embedding. Rui Zhang, Arthur Zimek, Peter Schneider-Kamp |
| 2022 | A System for Time Series Feature Extraction in Federated Learning. Siqi Wang, Jiashu Li, Mian Lu, Zhao Zheng, Yuqiang Chen, Bingsheng He |
| 2022 | A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie |
| 2022 | AI-Augmented Art Psychotherapy through a Hierarchical Co-Attention Mechanism. Seungwan Jin, Hoyoung Choi, Kyungsik Han |
| 2022 | AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence. Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas |
| 2022 | AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query. Zepeng Huai, Zhe Wang, Yifan Zhu, Peng Zhang |
| 2022 | Abstra: Toward Generic Abstractions for Data of Any Model. Nelly Barret, Ioana Manolescu, Prajna Upadhyay |
| 2022 | Accelerating CNN via Dynamic Pattern-based Pruning Network. Gwanghan Lee, Saebyeol Shin, Simon S. Woo |
| 2022 | Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge. Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, U Kang |
| 2022 | AdaDebunk: An Efficient and Reliable Deep State Space Model for Adaptive Fake News Early Detection. Ke Li, Bin Guo, Siyuan Ren, Zhiwen Yu |
| 2022 | AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training. Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang |
| 2022 | AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates |
| 2022 | Adaptive Domain Interest Network for Multi-domain Recommendation. Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng |
| 2022 | Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting. Aosong Feng, Leandros Tassiulas |
| 2022 | Adaptive Multi-Source Causal Inference from Observational Data. Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong |
| 2022 | Adaptive Re-Ranking with a Corpus Graph. Sean MacAvaney, Nicola Tonellotto, Craig Macdonald |
| 2022 | Addressing Cold Start in Product Search via Empirical Bayes. Cuize Han, Pablo Castells, Parth Gupta, Xu Xu, Vamsi Salaka |
| 2022 | Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning. Yao Zhou, Jun Wu, Haixun Wang, Jingrui He |
| 2022 | Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He |
| 2022 | An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. Runxue Bao, Bin Gu, Heng Huang |
| 2022 | An Actor-critic Reinforcement Learning Model for Optimal Bidding in Online Display Advertising. Congde Yuan, Mengzhuo Guo, Chaoneng Xiang, Shuangyang Wang, Guoqing Song, Qingpeng Zhang |
| 2022 | An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou |
| 2022 | An Empirical Cross Domain-Specific Entity Recognition with Domain Vector. Wei Chen, Songqiao Han, Hailiang Huang |
| 2022 | An Empirical Study on How People Perceive AI-generated Music. Hyeshin Chu, Joohee Kim, Seongouk Kim, Hongkyu Lim, Hyunwook Lee, Seungmin Jin, Jongeun Lee, Taehwan Kim, Sungahn Ko |
| 2022 | An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia |
| 2022 | An Enhanced Gated Graph Neural Network for E-commerce Recommendation. Jihai Zhang, Fangquan Lin, Cheng Yang, Ziqiang Cui |
| 2022 | An Exploratory Study of Information Cocoon on Short-form Video Platform. Nian Li, Chen Gao, Jinghua Piao, Xin Huang, Aizhen Yue, Liang Zhou, Qingmin Liao, Yong Li |
| 2022 | An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection. Yangmin Li, Xinhang Yuan, Wengen Li |
| 2022 | An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models. Zhijing Wu, Jingliang Fang, Hua Xu, Kai Gao |
| 2022 | An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering. Sunghyun Hwang, Dong-Kyu Chae |
| 2022 | Analysis of Knowledge Transfer in Kernel Regime. Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani |
| 2022 | Applied Machine Learning Methods for Time Series Forecasting. Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen D. Guo, Raghav Chalapathy, Musen Wen |
| 2022 | Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng |
| 2022 | Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration. Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Shuzhan Ye, Shihuang Pan, Yuhan Zhou |
| 2022 | Approximated Doubly Robust Search Relevance Estimation. Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin |
| 2022 | Are Gradients on Graph Structure Reliable in Gray-box Attacks? Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li |
| 2022 | Aries: Accurate Metric-based Representation Learning for Fast Top- Chunhui Feng, Zhicheng Pan, Junhua Fang, Jiajie Xu, Pengpeng Zhao, Lei Zhao |
| 2022 | Asymmetrical Context-aware Modulation for Collaborative Filtering Recommendation. Yi Ouyang, Peng Wu, Li Pan |
| 2022 | AutoForecast: Automatic Time-Series Forecasting Model Selection. Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi |
| 2022 | AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang |
| 2022 | AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL. Guanming Xiong, Junwei Bao, Wen Zhao, Youzheng Wu, Xiaodong He |
| 2022 | AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution. Robin Cugny, Julien Aligon, Max Chevalier, Geoffrey Roman-Jimenez, Olivier Teste |
| 2022 | Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction. Fuxian Li, Huan Yan, Guangyin Jin, Yue Liu, Yong Li, Depeng Jin |
| 2022 | Automatic Meta-Path Discovery for Effective Graph-Based Recommendation. Wentao Ning, Reynold Cheng, Jiajun Shen, Nur Al Hasan Haldar, Ben Kao, Xiao Yan, Nan Huo, Wai Kit Lam, Tian Li, Bo Tang |
| 2022 | Automating DBSCAN via Deep Reinforcement Learning. Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu |
| 2022 | BED: A Real-Time Object Detection System for Edge Devices. Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xuanting Cai, Xia Ben Hu |
| 2022 | BLUTune: Query-informed Multi-stage IBM Db2 Tuning via ML. Connor Henderson, Spencer Bryson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte |
| 2022 | BRIGHT - Graph Neural Networks in Real-time Fraud Detection. Mingxuan Lu, Zhichao Han, Susie Xi Rao, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang, Jiawei Jiang |
| 2022 | Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning. Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang |
| 2022 | Bandit Learning in Many-to-One Matching Markets. Zilong Wang, Liya Guo, Junming Yin, Shuai Li |
| 2022 | Best Practices for Top- Ngozi Ihemelandu |
| 2022 | Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu |
| 2022 | BidH: A Bidirectional Hierarchical Model for Nested Named Entity Recognition. Wanyang Xu, Wengen Li, Jihong Guan, Shuigeng Zhou |
| 2022 | Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou. Kunpeng Li, Guangcui Shao, Naijun Yang, Xiao Fang, Yang Song |
| 2022 | Binary Classification with Positive Labeling Sources. Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner |
| 2022 | Binary Transformation Method for Multi-Label Stream Classification. Ege Berkay Gulcan, Isin Su Ecevit, Fazli Can |
| 2022 | Bootstrap-based Causal Structure Learning. Xianjie Guo, Yujie Wang, Xiaoling Huang, Shuai Yang, Kui Yu |
| 2022 | Bootstrapped Knowledge Graph Embedding based on Neighbor Expansion. Jun Seon Kim, Seong-Jin Ahn, Myoung Ho Kim |
| 2022 | Breast Cancer Early Detection with Time Series Classification. Haoren Zhu, Pengfei Zhao, Yiu-Pong Chan, Hong Kang, Dik Lun Lee |
| 2022 | Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun |
| 2022 | Building Natural Language Processing Applications with EasyNLP. Chengyu Wang, Minghui Qiu, Jun Huang |
| 2022 | Building Next Best Action Engines for B2C and B2B Use Cases. Ilya Katsov |
| 2022 | C-Cast: A Real-Time Forecasting Model for a Controlled Sequence. Ren Fujiwara |
| 2022 | CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment. Jing Zhu, Danai Koutra, Mark Heimann |
| 2022 | CASA-Net: A Context-Aware Correlation Convolutional Network for Scale-Adaptive Crack Detection. Xin Bi, Shining Zhang, Yu Zhang, Lei Hu, Wei Zhang, Wenjing Niu, Ye Yuan, Guoren Wang |
| 2022 | CAVE: Correcting Attribute Values in E-commerce Profiles. Kassem Sabeh, Mouna Kacimi, Johann Gamper |
| 2022 | CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo |
| 2022 | CLEAR: A Fully User-side Image Search System. Ryoma Sato |
| 2022 | CLNews: The First Dataset of the Chilean Social Outbreak for Disinformation Analysis. Eliana Providel, Daniel Toro, Fabián Riquelme, Marcelo Mendoza, Eduardo Puraivan |
| 2022 | CNewsTS - A Large-scale Chinese News Dataset with Hierarchical Topic Category and Summary. Quanzhi Li, Yingchi Liu, Yang Chao |
| 2022 | CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements. Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu, Enhong Chen |
| 2022 | CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems. Yongxiang Tang, Wentao Bai, Guilin Li, Xialong Liu, Yu Zhang |
| 2022 | CRUX: Crowdsourced Materials Science Resource and Workflow Exploration. Mengying Wang, Hanchao Ma, Abhishek Daundkar, Sheng Guan, Yiyang Bian, Alp Sehirlioglu, Yinghui Wu |
| 2022 | CS-MLGCN: Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks. Ali Behrouz, Farnoosh Hashemi |
| 2022 | CStory: A Chinese Large-scale News Storyline Dataset. Kaijie Shi, Xiaozhi Wang, Jifan Yu, Lei Hou, Juanzi Li, Jingtong Wu, Dingyu Yong, Jinghui Xiao, Qun Liu |
| 2022 | CTRL: Cooperative Traffic Tolling via Reinforcement Learning. Yiheng Wang, Hexi Jin, Guanjie Zheng |
| 2022 | Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao |
| 2022 | Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He |
| 2022 | Can Adversarial Training benefit Trajectory Representation?: An Investigation on Robustness for Trajectory Similarity Computation. Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang, Jingping Bi |
| 2022 | Can We Have Both Fish and Bear's Paw?: Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift. Yu Hong, Zhixu Li, Jianfeng Qu, Jiaqing Liang, Yi Luo, Miyu Zhang, Yanghua Xiao, Wei Wang |
| 2022 | Cascade Variational Auto-Encoder for Hierarchical Disentanglement. Fudong Lin, Xu Yuan, Lu Peng, Nian-Feng Tzeng |
| 2022 | Cascade-based Echo Chamber Detection. Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco |
| 2022 | Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions. Bhavya Ghai, Mihir Mishra, Klaus Mueller |
| 2022 | Causal Intervention for Sentiment De-biasing in Recommendation. Ming He, Xin Chen, Xinlei Hu, Changshu Li |
| 2022 | Causal Learning Empowered OD Prediction for Urban Planning. Jinwei Zeng, Guozhen Zhang, Can Rong, Jingtao Ding, Jian Yuan, Yong Li |
| 2022 | Causal Relationship over Knowledge Graphs. Hao Huang |
| 2022 | Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng |
| 2022 | Change Detection for Local Explainability in Evolving Data Streams. Johannes Haug, Alexander Braun, Stefan Zürn, Gjergji Kasneci |
| 2022 | ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding. Bingning Wang, Feiyang Lv, Ting Yao, Jin Ma, Yu Luo, Haijin Liang |
| 2022 | ClozeSearch: A Collocation Retrieval Application to Assist in Scientific Writing. Mengru Wang, Omar Alonso |
| 2022 | Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction. Shun Zhang, Xiangkui Lu, Jun Wu |
| 2022 | CoPatE: A Novel Contrastive Learning Framework for Patent Embeddings. Huahang Li, Shuangyin Li, Yuncheng Jiang, Gansen Zhao |
| 2022 | Cognitive Diagnosis Focusing on Knowledge Concepts. Sheng Li, Quanlong Guan, Liangda Fang, Fang Xiao, Zhenyu He, Yizhou He, Weiqi Luo |
| 2022 | Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating. Tao Yu, Yao Fu, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu |
| 2022 | Collaborative Image Understanding. Koby Bibas, Oren Sar Shalom, Dietmar Jannach |
| 2022 | Commonsense Knowledge Base Completion with Relational Graph Attention Network and Pre-trained Language Model. Jinhao Ju, Deqing Yang, Jingping Liu |
| 2022 | Confidence-Guided Learning Process for Continuous Classification of Time Series. Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li |
| 2022 | Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning. Zhiqi Ge, Yuanyuan Guan, Ximing Li, Bo Fu |
| 2022 | Context-aware Traffic Flow Forecasting in New Roads. Namhyuk Kim, Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, Sunghwan Park |
| 2022 | Contextualized Formula Search Using Math Abstract Meaning Representation. Behrooz Mansouri, Douglas W. Oard, Richard Zanibbi |
| 2022 | ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu |
| 2022 | Contrastive Cross-Domain Sequential Recommendation. Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang |
| 2022 | Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19. Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | Contrastive Knowledge Graph Error Detection. Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu |
| 2022 | Contrastive Label Correlation Enhanced Unified Hashing Encoder for Cross-modal Retrieval. Hongfa Wu, Lisai Zhang, Qingcai Chen, Yimeng Deng, Joanna Siebert, Yunpeng Han, Zhonghua Li, Dejiang Kong, Zhao Cao |
| 2022 | Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao |
| 2022 | Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs. Endri Kacupaj, Kuldeep Singh, Maria Maleshkova, Jens Lehmann |
| 2022 | Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee. Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Haiyang Xu, Jian Xu |
| 2022 | Convolutional Transformer Networks for Epileptic Seizure Detection. Nan Ke, Tong Lin, Zhouchen Lin, Xiao-Hua Zhou, Taoyun Ji |
| 2022 | Cooperative Max-Pressure Enhanced Traffic Signal Control. Lin Li, Renbo Li, Yuquan Peng, Chuanming Huang, Jingling Yuan |
| 2022 | CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng |
| 2022 | Cost-constrained Minimal Steiner Tree Enumeration. Yuya Sasaki |
| 2022 | CrisICSum: Interpretable Classification and Summarization Platform for Crisis Events from Microblogs. Thi Huyen Nguyen, Miroslav Shaltev, Koustav Rudra |
| 2022 | Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs. Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer |
| 2022 | Cross-Domain Product Search with Knowledge Graph. Rui Zhu, Yiming Zhao, Wei Qu, Zhongyi Liu, Chenliang Li |
| 2022 | Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu |
| 2022 | Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. Yinghua Zhang, Yangqiu Song, Kun Bai, Qiang Yang |
| 2022 | Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. Meng Pang, Binghui Wang, Shengbo Chen, Yiu-ming Cheung, Rong Zou, Wei Huang |
| 2022 | Cross-domain Recommendation via Adversarial Adaptation. Hongzu Su, Yifei Zhang, Xuejiao Yang, Hua Hua, Shuangyang Wang, Jingjing Li |
| 2022 | Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts? Mohammed Saeed, Nicolas Traub, Maelle Nicolas, Gianluca Demartini, Paolo Papotti |
| 2022 | Curriculum Contrastive Learning for Fake News Detection. Jiachen Ma, Yong Liu, Meng Liu, Meng Han |
| 2022 | CyberWater: An Open Framework for Data and Model Integration in Water Science and Engineering. Ranran Chen, Feng Li, Drew Bieger, Fengguang Song, Yao Liang, Daniel Luna, Ryan Young, Xu Liang, Sudhakar Pamidighantam |
| 2022 | D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia |
| 2022 | DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin |
| 2022 | DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans. Shaowei Chen, Haoran Wang, Jie Liu, Jiahui Wu |
| 2022 | DBinsight: A Tool for Interactively Understanding the Query Processing Pipeline in RDBMSs. Ying Rong, Hui Li, Kankan Zhao, Xiyue Gao, Jiangtao Cui |
| 2022 | DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model. Changsheng Ma, Qiang Yang, Xin Gao, Xiangliang Zhang |
| 2022 | DISCO: Comprehensive and Explainable Disinformation Detection. Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He |
| 2022 | DP-HORUS: Differentially Private Hierarchical Count Histograms under Untrusted Server. Congcong Fu, Hui Li, Jian Lou, Jiangtao Cui |
| 2022 | Data Oversampling with Structure Preserving Variational Learning. Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar |
| 2022 | Debiased Balanced Interleaving at Amazon Search. Nan Bi, Pablo Castells, Daniel Gilbert, Slava Galperin, Patrick Tardif, Sachin Ahuja |
| 2022 | Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems. Minseok Kim, Jinoh Oh, Jaeyoung Do, Sungjin Lee |
| 2022 | Decoupled Hyperbolic Graph Attention Network for Modeling Substitutable and Complementary Item Relationships. Zhiheng Zhou, Tao Wang, Linfang Hou, Xinyuan Zhou, Mian Ma, Zhuoye Ding |
| 2022 | Deep Contrastive Multiview Network Embedding. Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang |
| 2022 | Deep Extreme Mixture Model for Time Series Forecasting. Abilasha S, Sahely Bhadra, Ahmed Zaheer Dadarkar, Deepak P |
| 2022 | Deep Learning for Search and Recommendation. Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang |
| 2022 | Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units. Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li |
| 2022 | Deep Presentation Bias Integrated Framework for CTR Prediction. Jianqiang Huang, Xingyuan Tang, Zhe Wang, Shaolin Jia, Yin Bai, Zhiwei Liu, Jia Cheng, Jun Lei, Yan Zhang |
| 2022 | DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities. Shuo Sun, Wanqi Xue, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An |
| 2022 | DeepVT: Deep View-Temporal Interaction Network for News Recommendation. Xuanyu Zhang, Qing Yang, Dongliang Xu |
| 2022 | Demonstrating SubStrat: A Subset-Based Strategy for Faster AutoML on Large Datasets. Teddy Lazebnik, Amit Somech |
| 2022 | Demonstration of LogicLib: An Expressive Multi-Language Interface over Scalable Datalog System. Mingda Li, Jin Wang, Guorui Xiao, Youfu Li, Carlo Zaniolo |
| 2022 | Dense Retrieval with Entity Views. Hai Dang Tran, Andrew Yates |
| 2022 | Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act. Ben Chugg, Nicolas Rothbacher, Alex Feng, Xiaoqi Long, Daniel E. Ho |
| 2022 | Detecting Significant Differences Between Information Retrieval Systems via Generalized Linear Models. Guglielmo Faggioli, Nicola Ferro, Norbert Fuhr |
| 2022 | DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments. Jiahao Chen, Shuyan Huang, Zitao Liu, Weiqi Luo |
| 2022 | Dialogue State Tracking Based on Hierarchical Slot Attention and Contrastive Learning. Yihao Zhou, Guoshuai Zhao, Xueming Qian |
| 2022 | Discovering Fine-Grained Semantics in Knowledge Graph Relations. Nitisha Jain, Ralf Krestel |
| 2022 | Discriminative Language Model via Self-Teaching for Dense Retrieval. Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | Disentangled Contrastive Learning for Social Recommendation. Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang |
| 2022 | Disentangled Representation for Long-tail Senses of Word Sense Disambiguation. Junwei Zhang, Ruifang He, Fengyu Guo, Jinsong Ma, Mengnan Xiao |
| 2022 | Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang |
| 2022 | Dismantling Complex Networks by a Neural Model Trained from Tiny Networks. Jiazheng Zhang, Bang Wang |
| 2022 | Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong |
| 2022 | Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning. Hao Jiang, Yuntao Liu, Shengze Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu |
| 2022 | Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling. Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca |
| 2022 | Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting? Hao Li, Jie Shao, Kewen Liao, MingJian Tang |
| 2022 | DocSemMap 2.0: Semantic Labeling based on Textual Data Documentations Using Seq2Seq Context Learner. Andreas Burgdorf, Alexander Paulus, André Pomp, Tobias Meisen |
| 2022 | Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities. Yihong Tang, Ao Qu, Andy H. F. Chow, William H. K. Lam, Sze Chun Wong, Wei Ma |
| 2022 | Domain-Agnostic Contrastive Representations for Learning from Label Proportions. Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer |
| 2022 | Dr. Can See: Towards a Multi-modal Disease Diagnosis Virtual Assistant. Abhisek Tiwari, Manisimha Manthena, Sriparna Saha, Pushpak Bhattacharyya, Minakshi Dhar, Sarbajeet Tiwari |
| 2022 | Drive Less but Finish More: Food Delivery based on Multi-Level Workers in Spatial Crowdsourcing. Xiaojia Xu, An Liu, Guanfeng Liu, Zhixu Li, Lei Zhao |
| 2022 | DuARUS: Automatic Geo-object Change Detection with Street-view Imagery for Updating Road Database at Baidu Maps. Deguo Xia, Jizhou Huang, Jianzhong Yang, Xiyan Liu, Haifeng Wang |
| 2022 | DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps. Jizhou Huang, Zhengjie Huang, Xiaomin Fang, Shikun Feng, Xuyi Chen, Jiaxiang Liu, Haitao Yuan, Haifeng Wang |
| 2022 | DuIVRS: A Telephonic Interactive Voice Response System for Large-Scale POI Attribute Acquisition at Baidu Maps. Jizhou Huang, Haifeng Wang, Shaolei Wang |
| 2022 | DuMapper: Towards Automatic Verification of Large-Scale POIs with Street Views at Baidu Maps. Miao Fan, Jizhou Huang, Haifeng Wang |
| 2022 | DuTraffic: Live Traffic Condition Prediction with Trajectory Data and Street Views at Baidu Maps. Deguo Xia, Xiyan Liu, Wei Zhang, Hui Zhao, Chengzhou Li, Weiming Zhang, Jizhou Huang, Haifeng Wang |
| 2022 | Dual-Augment Graph Neural Network for Fraud Detection. Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li |
| 2022 | Dual-Task Learning for Multi-Behavior Sequential Recommendation. Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming |
| 2022 | Dually Enhanced Propensity Score Estimation in Sequential Recommendation. Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen |
| 2022 | Dynamic Causal Collaborative Filtering. Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang |
| 2022 | Dynamic Explicit Embedding Representation for Numerical Features in Deep CTR Prediction. Yuan Cheng |
| 2022 | Dynamic Hypergraph Learning for Collaborative Filtering. Chunyu Wei, Jian Liang, Bing Bai, Di Liu |
| 2022 | Dynamic Network Embedding via Temporal Path Adjacency Matrix Factorization. Zhuoming Li, Darong Lai |
| 2022 | Dynamic Transfer Gaussian Process Regression. Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma |
| 2022 | E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling. Javier Albert, Dmitri Goldenberg |
| 2022 | EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation. Wonjun Ko, Heung-Il Suk |
| 2022 | Early Stage Sparse Retrieval with Entity Linking. Dahlia Shehata, Negar Arabzadeh, Charles L. A. Clarke |
| 2022 | Effective Neural Team Formation via Negative Samples. Arman Dashti, Saeed Samet, Hossein Fani |
| 2022 | Effects of Stubbornness on Opinion Dynamics. Wanyue Xu, Liwang Zhu, Jiale Guan, Zuobai Zhang, Zhongzhi Zhang |
| 2022 | Efficient Compression Method for Roadside LiDAR Data. Md. Parvez Mollah, Biplob Debnath, Murugan Sankaradas, Srimat Chakradhar, Abdullah Mueen |
| 2022 | Efficient Data Augmentation Policy for Electrocardiograms. ByeongTak Lee, Yong-Yeon Jo, Seon-Yu Lim, Youngjae Song, Joon-Myoung Kwon |
| 2022 | Efficient Learning with Pseudo Labels for Query Cost Estimation. Shuncheng Liu, Xu Chen, Yan Zhao, Jin Chen, Rui Zhou, Kai Zheng |
| 2022 | Efficient Non-sampling Expert Finding. Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng |
| 2022 | Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms. Carl Johnell, Morteza Haghir Chehreghani |
| 2022 | Efficient Second-Order Optimization for Neural Networks with Kernel Machines. Yawen Chen, Yile Chen, Jian Chen, Zeyi Wen, Jin Huang |
| 2022 | Efficient Trajectory Similarity Computation with Contrastive Learning. Liwei Deng, Yan Zhao, Zidan Fu, Hao Sun, Shuncheng Liu, Kai Zheng |
| 2022 | Efficient and Effective SPARQL Autocompletion on Very Large Knowledge Graphs. Hannah Bast, Johannes Kalmbach, Theresa Klumpp, Florian Kramer, Niklas Schnelle |
| 2022 | Efficiently Answering Minimum Reachable Label Set Queries in Edge-Labeled Graphs. Yanping Wu, Renjie Sun, Chen Chen, Xiaoyang Wang, Xianming Fu |
| 2022 | Embedding Global and Local Influences for Dynamic Graphs. Meng Liu, Jiaming Wu, Yong Liu |
| 2022 | End-to-end Modularity-based Community Co-partition in Bipartite Networks. Cangqi Zhou, Yuxiang Wang, Jing Zhang, Jiqiong Jiang, Dianming Hu |
| 2022 | End-to-end Multi-task Learning Framework for Spatio-Temporal Grounding in Video Corpus. Yingqi Gao, Zhiling Luo, Shiqian Chen, Wei Zhou |
| 2022 | Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen |
| 2022 | Ensemble Learning Methods for Dirty Data. Ling Liu |
| 2022 | Ensure A/B Test Quality at Scale with Automated Randomization Validation and Sample Ratio Mismatch Detection. Keyu Nie, Zezhong Zhang, Bingquan Xu, Ted Tao Yuan |
| 2022 | Estimating Causal Effects on Networked Observational Data via Representation Learning. Song Jiang, Yizhou Sun |
| 2022 | Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models. Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2022 | Evidence-aware Document-level Relation Extraction. Tianyu Xu, Wen Hua, Jianfeng Qu, Zhixu Li, Jiajie Xu, An Liu, Lei Zhao |
| 2022 | Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim |
| 2022 | ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics. Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov |
| 2022 | Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch. Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov |
| 2022 | ExpertBert: Pretraining Expert Finding. Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng |
| 2022 | Explainable Graph-based Fraud Detection via Neural Meta-graph Search. Zidi Qin, Yang Liu, Qing He, Xiang Ao |
| 2022 | Explainable Link Prediction in Knowledge Hypergraphs. Zirui Chen, Xin Wang, Chenxu Wang, Jianxin Li |
| 2022 | Explanation Guided Contrastive Learning for Sequential Recommendation. Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao |
| 2022 | Exploring and Analyzing Change: The Janus Project. Divesh Srivastava, Tobias Bleifuß, Leon Bornemann, Dmitri V. Kalashnikov, Felix Naumann |
| 2022 | Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi |
| 2022 | Extensible Database Simulator for Fast Prototyping In-Database Algorithms. Yifan Wang, Daisy Zhe Wang |
| 2022 | Extracting Drug-drug Interactions from Biomedical Texts using Knowledge Graph Embeddings and Multi-focal Loss. Xin Jin, Xia Sun, Jiacheng Chen, Richard F. E. Sutcliffe |
| 2022 | Extreme Systematic Reviews: A Large Literature Screening Dataset to Support Environmental Policymaking. Jingwen Hou, Xiaochen Wang, Jean-Jacques Dubois, R. Byron Rice, Amanda Haddock, Yue Wang |
| 2022 | Fairness of Machine Learning in Search Engines. Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin |
| 2022 | Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer. Yuanjie Lyu, Chen Zhu, Tong Xu, Zikai Yin, Enhong Chen |
| 2022 | Favorite+: Favorite Tuples Extraction via Regret Minimization. Min Xie, Yang Liu |
| 2022 | FeReD: Federated Reinforcement Learning in the DBMS. Sotirios Tzamaras, Radu Ciucanu, Marta Soare, Sihem Amer-Yahia |
| 2022 | FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction. Meihan Wu, Li Li, Chang Tao, Eric Rigall, Xiaodong Wang, Cheng-Zhong Xu |
| 2022 | FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun |
| 2022 | Federated Data Preparation, Learning, and Debugging in Apache SystemDS. Sebastian Baunsgaard, Matthias Boehm, Kevin Innerebner, Mito Kehayov, Florian Lackner, Olga Ovcharenko, Arnab Phani, Tobias Rieger, David Weissteiner, Sebastian Benjamin Wrede |
| 2022 | Federated K-Private Set Intersection. Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Salman Avestimehr |
| 2022 | Few-Shot Relational Triple Extraction with Perspective Transfer Network. Junbo Fei, Weixin Zeng, Xiang Zhao, Xuanyi Li, Weidong Xiao |
| 2022 | Fifty Shades of Pink: Understanding Color in e-commerce using Knowledge Graphs. Lizzie Liang, Sneha Kamath, Petar Ristoski, Qunzhi Zhou, Zhe Wu |
| 2022 | FinBot: A Memory-Augmented Intelligent Financial Assistant. Yingting Wu, Bingzhu Du, Yongliang Wang, Zihao Wang, Minghui Yang, Yuchi Zhang, Hai Zhao |
| 2022 | Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification. Yoonhyuk Choi, Jiho Choi, Taewook Ko, HyungHo Byun, Chong-Kwon Kim |
| 2022 | Flow-based Perturbation for Cause-effect Inference. Shaogang Ren, Ping Li |
| 2022 | Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning. Maya Kapoor, Joshua Melton, Michael Ridenhour, Thomas Moyer, Siddharth Krishnan |
| 2022 | Fooling MOSS Detection with Pretrained Language Models. Stella Biderman, Edward Raff |
| 2022 | Frequent Itemset Mining with Local Differential Privacy. Junhui Li, Wensheng Gan, Yijie Gui, Yongdong Wu, Philip S. Yu |
| 2022 | From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking. Yutao Zhu, Jian-Yun Nie, Yixuan Su, Haonan Chen, Xinyu Zhang, Zhicheng Dou |
| 2022 | From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection. Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He |
| 2022 | From Product Searches to Conversational Agents for E-Commerce. Giuseppe Di Fabbrizio |
| 2022 | Fusing Geometric and Scene Information for Cross-View Geo-Localization. Siyuan Guo, Tianying Liu, Wengen Li, Jihong Guan, Shuigeng Zhou |
| 2022 | FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu |
| 2022 | GALGO: Scalable Graph Analytics with a Parallel DBMS. Wellington Cabrera, Xiantian Zhou, Ladjel Bellatreche, Carlos Ordonez |
| 2022 | GALVIS: Visualization Construction through Example-Powered Declarative Programming. Leixian Shen, Enya Shen, Zhiwei Tai, Yun Wang, Yuyu Luo, Jianmin Wang |
| 2022 | GBERT: Pre-training User representations for Ephemeral Group Recommendation. Song Zhang, Nan Zheng, Danli Wang |
| 2022 | GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases. Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao |
| 2022 | GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. Ping Li, Weijie Zhao |
| 2022 | GDA-HIN: A Generalized Domain Adaptive Model across Heterogeneous Information Networks. Tiancheng Huang, Ke Xu, Donglin Wang |
| 2022 | GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo |
| 2022 | GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo |
| 2022 | GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. Yi Cao, Sihao Hu, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Shouling Ji |
| 2022 | GRETEL: Graph Counterfactual Explanation Evaluation Framework. Mario Alfonso Prado-Romero, Giovanni Stilo |
| 2022 | GROWN+UP: A "Graph Representation Of a Webpage" Network Utilizing Pre-training. Benedict Yeoh, Huijuan Wang |
| 2022 | GReS: Graphical Cross-domain Recommendation for Supply Chain Platform. Zhiwen Jing, Ziliang Zhao, Yang Feng, Xiaochen Ma, Nan Wu, Shengqiao Kang, Cheng Yang, Yujia Zhang, Hao Guo |
| 2022 | Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce. Bo Chen, Jiayi Liu, Mieradilijiang Maimaiti, Xing Gao, Ji Zhang |
| 2022 | Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation. Manal A. Alshehri, Xiangliang Zhang |
| 2022 | Generative-Free Urban Flow Imputation. Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang |
| 2022 | Geographical Address Models in the Indian e-Commerce. Ravindra Babu Tallamraju |
| 2022 | Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification. Mingze Sun, Weizhi Ma, Yang Liu |
| 2022 | GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo |
| 2022 | GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao |
| 2022 | Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction. Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang |
| 2022 | Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction. Roy Benjamin, Uriel Singer, Kira Radinsky |
| 2022 | Graph Representation Learning via Adaptive Multi-layer Neighborhood Diffusion Contrast. Jijie Zhang, Yan Yang, Yong Liu, Meng Han, Shaowei Yin |
| 2022 | Graph-based Management and Mining of Blockchain Data. Arijit Khan, Cuneyt Gurcan Akcora |
| 2022 | Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. Zhiyuan Zeng, Yuzhi Huang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng |
| 2022 | Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation. Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, Xian Wu |
| 2022 | Gromov-Wasserstein Multi-modal Alignment and Clustering. Fengjiao Gong, Yuzhou Nie, Hongteng Xu |
| 2022 | Guided Text-based Item Exploration. Behrooz Omidvar-Tehrani, Aurélien Personnaz, Sihem Amer-Yahia |
| 2022 | HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints. Wei Wu, Junlin He, Yu Qiao, Guoheng Fu, Li Liu, Jin Yu |
| 2022 | Hammer PDF: An Intelligent PDF Reader for Scientific Papers. Sheng-Fu Wang, Shu-Hang Liu, Tian-Yi Che, Yi-Fan Lu, Song-Xiao Yang, Heyan Huang, Xian-Ling Mao |
| 2022 | Handling RDF Streams: Harmonizing Subgraph Matching, Adaptive Incremental Maintenance, and Matching-free Updates Together. Qianzhen Zhang, Deke Guo, Xiang Zhao, Lailong Luo |
| 2022 | Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng |
| 2022 | HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic. Shuncheng Liu, Xu Chen, Ziniu Wu, Liwei Deng, Han Su, Kai Zheng |
| 2022 | Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction. Mei Li, Xiangrui Cai, Linyu Li, Sihan Xu, Hua Ji |
| 2022 | Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility. Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song |
| 2022 | Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li |
| 2022 | Hierarchical Conversational Preference Elicitation with Bandit Feedback. Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong |
| 2022 | Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation. Chi Zhang, Yantong Du, Xiangyu Zhao, Qilong Han, Rui Chen, Li Li |
| 2022 | Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly. Won Joon Yun, David Mohaisen, Soyi Jung, Jong-Kook Kim, Joongheon Kim |
| 2022 | Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view. Jinghua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Lele Fu, Zibin Zheng |
| 2022 | Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. Yihong Ma, Patrick Gérard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla |
| 2022 | Hierarchically Constrained Adaptive Ad Exposure in Feeds. Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng |
| 2022 | Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search. Qijie Shen, Hong Wen, Jing Zhang, Qi Rao |
| 2022 | High Availability Framework and Query Fault Tolerance for Hybrid Distributed Database Systems. Krishna Kantikiran Pasupuleti, Boris Klots, Vijayakrishnan Nagarajan, Ananthakiran Kandukuri, Nipun Agarwal |
| 2022 | High-quality Task Division for Large-scale Entity Alignment. Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang |
| 2022 | Higher-order Clustering and Pooling for Graph Neural Networks. Alexandre Duval, Fragkiskos D. Malliaros |
| 2022 | Hockey: A Hybrid PMem-SSD Storage Engine for Analytical Database. Yuhang Jia, Huiqi Hu, Xuan Zhou, Weining Qian |
| 2022 | How Does the Crowd Impact the Model? A Tool for Raising Awareness of Social Bias in Crowdsourced Training Data. Periklis Perikleous, Andreas Kafkalias, Zenonas Theodosiou, Pinar Barlas, Evgenia Christoforou, Jahna Otterbacher, Gianluca Demartini, Andreas Lanitis |
| 2022 | How Hybrid Work Will Make Work More Intelligent. Jaime Teevan |
| 2022 | HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations. Sichun Luo, Xinyi Zhang, Yuanzhang Xiao, Linqi Song |
| 2022 | Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation. Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. Yang Liu, Zequn Sun, Guangyao Li, Wei Hu |
| 2022 | IEEE13-AdvAttack A Novel Dataset for Benchmarking the Power of Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grid. Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary |
| 2022 | ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering. Kaiqi Gong, Xiao Song, Senzhang Wang, Songsong Liu, Yong Li |
| 2022 | Identify Relevant Entities Through Text Understanding. Pooja Oza |
| 2022 | Imbalanced Graph Classification via Graph-of-Graph Neural Networks. Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr |
| 2022 | Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang |
| 2022 | Implicit Session Contexts for Next-Item Recommendations. Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar |
| 2022 | Implicit User-Generated Content in the Service of Public Health. Evgeniy Gabrilovich |
| 2022 | Improving Downstream Task Performance by Treating Numbers as Entities. Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin |
| 2022 | Improving Graph-based Document-Level Relation Extraction Model with Novel Graph Structure. Seongsik Park, Dongkeun Yoon, Harksoo Kim |
| 2022 | Improving Imitation Learning by Merging Experts Trajectories. Pegah Alizadeh, Aomar Osmani, Sammy Taleb |
| 2022 | Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning. Ding Zou, Wei Wei, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang, Dangyang Chen |
| 2022 | Improving Personality Consistency in Conversation by Persona Extending. Yifan Liu, Wei Wei, Jiayi Liu, Xianling Mao, Rui Fang, Dangyang Chen |
| 2022 | Improving Text-based Similar Product Recommendation for Dynamic Product Advertising at Yahoo. Xiao Bai, Lei Duan, Richard Tang, Gaurav Batra, Ritesh Agrawal |
| 2022 | Incorporating Fairness in Large-scale Evacuation Planning. Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti |
| 2022 | Incorporating Peer Reviews and Rebuttal Counter-Arguments for Meta-Review Generation. Po-Cheng Wu, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2022 | Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu |
| 2022 | Inferring Sensitive Attributes from Model Explanations. Vasisht Duddu, Antoine Boutet |
| 2022 | Information Extraction from Social Media: A Hands-on Tutorial on Tasks, Data, and Open Source Tools. Shubhanshu Mishra, Rezvaneh Rezapour, Jana Diesner |
| 2022 | IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang |
| 2022 | Intent Disambiguation for Task-oriented Dialogue Systems. Andrea Alfieri, Ralf Wolter, Seyyed Hadi Hashemi |
| 2022 | Interactive Contrastive Learning for Self-Supervised Entity Alignment. Kaisheng Zeng, Zhenhao Dong, Lei Hou, Yixin Cao, Minghao Hu, Jifan Yu, Xin Lv, Lei Cao, Xin Wang, Haozhuang Liu, Yi Huang, Junlan Feng, Jing Wan, Juanzi Li, Ling Feng |
| 2022 | Interpretability of BERT Latent Space through Knowledge Graphs. Vito Walter Anelli, Giovanni Maria Biancofiore, Alessandro De Bellis, Tommaso Di Noia, Eugenio Di Sciascio |
| 2022 | Interpretable Emotion Analysis Based on Knowledge Graph and OCC Model. Shuo Wang, Yifei Zhang, Bochen Lin, Boxun Li |
| 2022 | Intersection of Parallels as an Early Stopping Criterion. Ali Vardasbi, Maarten de Rijke, Mostafa Dehghani |
| 2022 | Intra-session Context-aware Feed Recommendation in Live Systems. Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang |
| 2022 | Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury |
| 2022 | Invariance Testing and Feature Selection Using Sparse Linear Layers. Zukang Liao, Michael Cheung |
| 2022 | Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation. Taeho Kim, Yungi Kim, Yeon-Chang Lee, Won-Yong Shin, Sang-Wook Kim |
| 2022 | JavaScript&Me, A Tool to Support Research into Code Transformation and Browser Security. Susana Lima, Ricardo Morla, João Routar |
| 2022 | Joint Clothes Detection and Attribution Prediction via Anchor-free Framework with Decoupled Representation Transformer. Fankai Zeng, Mingbo Zhao, Zhao Zhang, Shanchuan Gao, Lu Cheng |
| 2022 | Jointly Contrastive Representation Learning on Road Network and Trajectory. Zhenyu Mao, Ziyue Li, Dedong Li, Lei Bai, Rui Zhao |
| 2022 | KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng |
| 2022 | KRAF: A Flexible Advertising Framework using Knowledge Graph-Enriched Multi-Agent Reinforcement Learning. Jose A. Ayala-Romero, Péter Mernyei, Bichen Shi, Diego Mazón |
| 2022 | KSG: Knowledge and Skill Graph. Feng Zhao, Ziqi Zhang, Donglin Wang |
| 2022 | KiCi: A Knowledge Importance Based Class Incremental Learning Method for Wearable Activity Recognition. Shuai Guo, Yang Gu, Shijie Wen, Yuan Ma, Yiqiang Chen, Jiwei Wang, Chunyu Hu |
| 2022 | Knowledge Distillation via Hypersphere Features Distribution Transfer. Boheng Liu, Tianrui Zhang, Ligang Miao |
| 2022 | Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates. Danyang Liu, Yuji Yang, Mengdi Zhang, Wei Wu, Xing Xie, Guangzhong Sun |
| 2022 | Knowledge Tracing Model with Learning and Forgetting Behavior. Mingzhi Chen, Quanlong Guan, Yizhou He, Zhenyu He, Liangda Fang, Weiqi Luo |
| 2022 | Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms. Haiping Ma, Manwei Li, Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang, Xuemin Zhao |
| 2022 | KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He |
| 2022 | KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua |
| 2022 | LCD: Adaptive Label Correction for Denoising Music Recommendation. Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang |
| 2022 | LGP: Few-Shot Class-Evolutionary Learning on Dynamic Graphs. Tiancheng Huang, Feng Zhao, Donglin Wang |
| 2022 | LTE4G: Long-Tail Experts for Graph Neural Networks. Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park |
| 2022 | Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou |
| 2022 | Latent Coreset Sampling based Data-Free Continual Learning. Zhuoyi Wang, Dingcheng Li, Ping Li |
| 2022 | Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang |
| 2022 | LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs. Dana Arad, Daniel Deutch, Nave Frost |
| 2022 | Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters. Wei Lu, Zhaobo Zhang, Pingpeng Yuan, Hai Jin, Qiang-Sheng Hua |
| 2022 | Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks. Qiuyu Guo, Xiang Zhao, Yang Fang, Shiyu Yang, Xuemin Lin, Dian Ouyang |
| 2022 | Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks. Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang |
| 2022 | Learning and Mining with Noisy Labels. Masashi Sugiyama, Tongliang Liu, Bo Han, Yang Liu, Gang Niu |
| 2022 | Learning to Generalize in Heterogeneous Federated Networks. Cen Chen, Tiandi Ye, Li Wang, Ming Gao |
| 2022 | Learning-to-Spell: Weak Supervision based Query Correction in E-Commerce Search with Small Strong Labels. Madhura Pande, Vishal Kakkar, Manish Bansal, Surender Kumar, Chinmay Sharma, Himanshu Malhotra, Praneet Mehta |
| 2022 | Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul |
| 2022 | Legal Charge Prediction via Bilinear Attention Network. Yuquan Le, Yuming Zhao, Meng Chen, Zhe Quan, Xiaodong He, Kenli Li |
| 2022 | Leveraging Automated Search Relevance Evaluation to Improve System Deployment: A Case Study in Healthcare. Yizhao Ni, Ferosh Jacob, Priya Gopi Achuthan, Hui Wu, Faizan Javed |
| 2022 | Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang |
| 2022 | Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings. Michael N. Gubanov, Sophie Pavia, Anna Pyayt, William Goble |
| 2022 | Leveraging the Graph Structure of Neural Network Training Dynamics. Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra |
| 2022 | LibEpidemic: An Open-source Framework for Modeling Infectious Disease with Bigdata. Honghao Shi, Qijian Tian, Jingyuan Wang, Jiawei Cheng |
| 2022 | Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation. Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, Zhenhua Huang |
| 2022 | Local Contrastive Feature Learning for Tabular Data. Zhabiz Gharibshah, Xingquan Zhu |
| 2022 | Locality Aware Temporal FMs for Crime Prediction. Sameen Mansha, Abdur Rehman, Shaaf Abdullah, Faisal Kamiran, Hongzhi Yin |
| 2022 | Locality Sensitive Hashing with Temporal and Spatial Constraints for Efficient Population Record Linkage. Charini Nanayakkara, Peter Christen |
| 2022 | Long-tail Mixup for Extreme Multi-label Classification. Sangwoo Han, Eunseong Choi, Chan Lim, Hyunjung Shim, Jongwuk Lee |
| 2022 | Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang |
| 2022 | Loyalty-based Task Assignment in Spatial Crowdsourcing. Tinghao Lai, Yan Zhao, Weizhu Qian, Kai Zheng |
| 2022 | MAE4Rec: Storage-saving Transformer for Sequential Recommendations. Kesen Zhao, Xiangyu Zhao, Zijian Zhang, Muyang Li |
| 2022 | MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis. Jiandong Xie, Yue Cui, Feiteng Huang, Chao Liu, Kai Zheng |
| 2022 | MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation. Taeri Kim, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim |
| 2022 | MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning. Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo |
| 2022 | MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng |
| 2022 | MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies. Guohui Li, Zhiqiang Guo, Jianjun Li, Chaoyang Wang |
| 2022 | MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments. Abhirup Mondal, Anirban Majumder, Vineet Chaoji |
| 2022 | META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. Yu Hou, Cong Tran, Won-Yong Shin |
| 2022 | MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu |
| 2022 | MIC: Model-agnostic Integrated Cross-channel Recommender. Ping Nie, Yujie Lu, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren |
| 2022 | ML-1M++: MovieLens-Compatible Additional Preferences for More Robust Offline Evaluation of Sequential Recommenders. Kazutoshi Umemoto |
| 2022 | MLadder: An Online Training System for Machine Learning and Data Science Education. Siqi Han, Wanting Li, En Zhang, Jilin Shi, Wei Wang, Xuesong Lu |
| 2022 | MNCM: Multi-level Network Cascades Model for Multi-Task Learning. Haotian Wu |
| 2022 | MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy. Benedek Rozemberczki, Anna Gogleva, Sebastian Nilsson, Gavin Edwards, Andriy Nikolov, Eliseo Papa |
| 2022 | MORN: Molecular Property Prediction Based on Textual-Topological-Spatial Multi-View Learning. Runze Ma, Yidan Zhang, Xinye Wang, Zhenyang Yu, Lei Duan |
| 2022 | MalNet: A Large-Scale Image Database of Malicious Software. Scott Freitas, Rahul Duggal, Duen Horng Chau |
| 2022 | Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang |
| 2022 | Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng |
| 2022 | Maximum Norm Minimization: A Single-Policy Multi-Objective Reinforcement Learning to Expansion of the Pareto Front. Seonjae Lee, Myoung-Hoon Lee, Jun Moon |
| 2022 | Measuring Friendship Closeness: A Perspective of Social Identity Theory. Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang |
| 2022 | Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs. Procheta Sen, Sourav Saha, Debasis Ganguly, Manisha Verma, Dwaipayan Roy |
| 2022 | Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting. Xiangyue Liu, Xinqi Lyu, Xiangchi Zhang, Jianliang Gao, Jiamin Chen |
| 2022 | Memory Bank Augmented Long-tail Sequential Recommendation. Yidan Hu, Yong Liu, Chunyan Miao, Yuan Miao |
| 2022 | Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation. Xiaoyu Cai, Yao Fu, Hong Zhao, Weihao Jiang, Shiliang Pu |
| 2022 | MentorGNN: Deriving Curriculum for Pre-Training GNNs. Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He |
| 2022 | Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information. Jian Cui, Kwanwoo Kim, Seung Ho Na, Seungwon Shin |
| 2022 | Meta-Reinforcement Learning for Multiple Traffic Signals Control. Yican Lou, Jia Wu, Yunchuan Ran |
| 2022 | MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection. Lu Yu, Meng Li, Xiaoguang Huang, Wei Zhu, Yanming Fang, Jun Zhou, Longfei Li |
| 2022 | MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization. Hui Niu, Siyuan Li, Jian Li |
| 2022 | Mining Entry Gates for Points of Interest. Tanya Khanna, Abhinav Ganesan, Jose Mathew, Kranthi Mitra Adusimilli |
| 2022 | Mining Reaction and Diffusion Dynamics in Social Activities. Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai, None None |
| 2022 | Mining of Real-world Hypergraphs: Patterns, Tools, and Generators. Geon Lee, Jaemin Yoo, Kijung Shin |
| 2022 | Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton |
| 2022 | Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables. Huarui He, Jie Wang, Yunfei Liu, Feng Wu |
| 2022 | Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu |
| 2022 | Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes. Govind Waghmare, Ankur Debnath, Siddhartha Asthana, Aakarsh Malhotra |
| 2022 | Modeling Latent Autocorrelation for Session-based Recommendation. Xianghong Xu, Kai Ouyang, Liuyin Wang, Jiaxin Zou, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim |
| 2022 | Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing. Fanwei Zhu, Wendong Xiao, Yao Yu, Ziyi Wang, Zulong Chen, Quan Lu, Zemin Liu, Minghui Wu, Shenghua Ni |
| 2022 | Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches. Wei-Yao Wang |
| 2022 | Models and Benchmarks for Representation Learning of Partially Observed Subgraphs. Dongkwan Kim, Jiho Jin, Jaimeen Ahn, Alice Oh |
| 2022 | Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction. Xinyu Zhu, Yongliang Shen, Weiming Lu |
| 2022 | MomNet: Gender Prediction using Mechanism of Working Memory. Sijie Long, Lin Li, Jingling Yuan, Jianquan Liu |
| 2022 | MonitorLight: Reinforcement Learning-based Traffic Signal Control Using Mixed Pressure Monitoring. Zekuan Fang, Fan Zhang, Ting Wang, Xiang Lian, Mingsong Chen |
| 2022 | Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center. Zhiyuan Yao, Zihan Ding, Thomas H. Clausen |
| 2022 | Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation. Jinkun Han, Wei Li, Zhipeng Cai, Yingshu Li |
| 2022 | Multi-Aspect Embedding of Dynamic Graphs. Aimin Sun, Zhiguo Gong |
| 2022 | Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems. Junning Liu, Xinjian Li, Bo An, Zijie Xia, Xu Wang |
| 2022 | Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction. Huachi Zhou, Jiaqi Fan, Xiao Huang, Ka Ho Li, Zhenyu Tang, Dahai Yu |
| 2022 | Multi-Scale User Behavior Network for Entire Space Multi-Task Learning. Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu |
| 2022 | Multi-agent Transformer Networks for Multimodal Human Activity Recognition. Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut |
| 2022 | Multi-granularity Fatigue in Recommendation. Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin |
| 2022 | Multi-level Contrastive Learning Framework for Sequential Recommendation. Ziyang Wang, Huoyu Liu, Wei Wei, Yue Hu, Xian-Ling Mao, Shaojian He, Rui Fang, Dangyang Chen |
| 2022 | Multi-scale Multi-modal Dictionary BERT For Effective Text-image Retrieval in Multimedia Advertising. Tan Yu, Jie Liu, Zhipeng Jin, Yi Yang, Hongliang Fei, Ping Li |
| 2022 | Multi-task Generative Adversarial Network for Missing Mobility Data Imputation. Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu |
| 2022 | Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang |
| 2022 | Multimodal Meta-Learning for Cold-Start Sequential Recommendation. Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao |
| 2022 | Multiple Instance Learning for Uplift Modeling. Yao Zhao, Haipeng Zhang, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang |
| 2022 | Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl |
| 2022 | NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson |
| 2022 | NILK: Entity Linking Dataset Targeting NIL-linking Cases. Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, Steffen Staab |
| 2022 | Named Entity-based Question-Answering Pair Generator. Aritra Kumar Lahiri, Qinmin Vivian Hu |
| 2022 | Network Aware Forecasting for eCommerce Supply Planning. K. V. M. Naidu, Praveen Gupta, Vaishnavi Gujjula |
| 2022 | Network Report: A Structured Description for Network Datasets. Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz |
| 2022 | Neuron Specific Pruning for Communication Efficient Federated Learning. Gaurav Kumar, Durga Toshniwal |
| 2022 | Nonlinear Causal Discovery in Time Series. Tianhao Wu, Xingyu Wu, Xin Wang, Shikang Liu, Huanhuan Chen |
| 2022 | Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification. Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata |
| 2022 | Numerical Feature Representation with Hybrid Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang |
| 2022 | Observability of SQL Hints in Oracle. Krishna Kantikiran Pasupuleti, Dinesh Das, Satyanarayana R. Valluri, Mohamed Zaït |
| 2022 | Offline Reinforcement Learning for Mobile Notifications. Yiping Yuan, Ajith Muralidharan, Preetam Nandy, Miao Cheng, Prakruthi Prabhakar |
| 2022 | On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. Hejie Cui, Zijie Lu, Pan Li, Carl Yang |
| 2022 | On Smoothed Explanations: Quality and Robustness. Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard |
| 2022 | On the Challenges of Podcast Search at Spotify. Mi Tian, Claudia Hauff, Praveen Chandar |
| 2022 | On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering. Georgios Sidiropoulos, Svitlana Vakulenko, Evangelos Kanoulas |
| 2022 | On the Mining of Time Series Data Counterfactual Explanations using Barycenters. Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi |
| 2022 | One Rating to Rule Them All?: Evidence of Multidimensionality in Human Assessment of Topic Labeling Quality. Amin Hosseiny Marani, Joshua Levine, Eric P. S. Baumer |
| 2022 | OpeNTF: A Benchmark Library for Neural Team Formation. Arman Dashti, Karan Saxena, Dhwani Patel, Hossein Fani |
| 2022 | OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network. Hui Han, Tianyu Zhao, Cheng Yang, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi |
| 2022 | OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu |
| 2022 | Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian |
| 2022 | PAS: Privacy Algorithms in Systems. Philip S. Yu, Olivera Kotevska, Tyler Derr |
| 2022 | PAVE: Lazy-MDP based Ensemble to Improve Recall of Product Attribute Extraction Models. Kushal Kumar, Anoop S. V. K. K. Saladi |
| 2022 | PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan |
| 2022 | PLAID: An Efficient Engine for Late Interaction Retrieval. Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia |
| 2022 | PLASMA: A Semantic Modeling Tool for Domain Experts. Alexander Paulus, Andreas Burgdorf, Tristan Langer, André Pomp, Tobias Meisen, Sebastian Pol |
| 2022 | POTATO: exPlainable infOrmation exTrAcTion framewOrk. Ádám Kovács, Kinga Gémes, Eszter Iklódi, Gábor Recski |
| 2022 | PRID: An Efficient Pub/Sub Ride Hitching System. Yafei Li, Lei Gao, Haobo Sun, Huiling Li, Qingshun Wu |
| 2022 | PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang |
| 2022 | Parallel Skyline Processing Using Space Pruning on GPU. Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu |
| 2022 | Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market. Huiling Huang, Jianliang Gao, Cong Xu, Xiaoting Ying |
| 2022 | Personal Entity, Concept, and Named Entity Linking in Conversations. Hideaki Joko, Faegheh Hasibi |
| 2022 | Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation. Sichun Luo, Yuanzhang Xiao, Linqi Song |
| 2022 | Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment. Zile Zhou, Xiao Zhou, Mingzhe Li, Yang Song, Tao Zhang, Rui Yan |
| 2022 | Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function. A. B. Siddique, Muhammad Hasan Maqbool, Kshitija Taywade, Hassan Foroosh |
| 2022 | Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution. Ilija Simic, Vedran Sabol, Eduardo E. Veas |
| 2022 | PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation. Dandan Lin, Shijie Sun, Jingtao Ding, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen, Chuan Chen |
| 2022 | Plotly.plus, an Improved Dataset for Visualization Recommendation. Luca Podo, Paola Velardi |
| 2022 | Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu |
| 2022 | Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang |
| 2022 | Predicting Guiding Entities for Entity Aspect Linking. Shubham Chatterjee, Laura Dietz |
| 2022 | Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks. Hanyang Liu, Michael Montana, Dingwen Li, Chase Renfroe, Thomas George Kannampallil, Chenyang Lu |
| 2022 | Predicting Multi-level Socioeconomic Indicators from Structural Urban Imagery. Tong Li, Shiduo Xin, Yanxin Xi, Sasu Tarkoma, Pan Hui, Yong Li |
| 2022 | Prediction-based One-shot Dynamic Parking Pricing. Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park |
| 2022 | Probabilistic Model Incorporating Auxiliary Covariates to Control FDR. Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli |
| 2022 | Probing the Robustness of Pre-trained Language Models for Entity Matching. Mehdi Akbarian Rastaghi, Ehsan Kamalloo, Davood Rafiei |
| 2022 | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 Mohammad Al Hasan, Li Xiong |
| 2022 | PromptORE - A Novel Approach Towards Fully Unsupervised Relation Extraction. Pierre-Yves Genest, Pierre-Edouard Portier, Elöd Egyed-Zsigmond, Laurent-Walter Goix |
| 2022 | Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong |
| 2022 | PubMed Author-assigned Keyword Extraction (PubMedAKE) Benchmark. Jiasheng Sheng, Zelalem Gero, Joyce C. Ho |
| 2022 | PyDHNet: A Python Library for Dynamic Heterogeneous Network Representation Learning and Evaluation. Hoang Nguyen, Radin Hamidi Rad, Ebrahim Bagheri |
| 2022 | PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python. Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu |
| 2022 | Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee |
| 2022 | Query Rewriting in TaoBao Search. Sen Li, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James T. Kwok, Qianli Ma |
| 2022 | Query-Aware Sequential Recommendation. Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley |
| 2022 | QuickSkill: Novice Skill Estimation in Online Multiplayer Games. Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng |
| 2022 | RAGUEL: Recourse-Aware Group Unfairness Elimination. Aparajita Haldar, Teddy Cunningham, Hakan Ferhatosmanoglu |
| 2022 | RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning. Yuyang Xia, Shuncheng Liu, Xu Chen, Zhi Xu, Kai Zheng, Han Su |
| 2022 | RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis. Houxing Ren, Jingyuan Wang, Wayne Xin Zhao |
| 2022 | RaDaR: A Real-Word Dataset for AI powered Run-time Detection of Cyber-Attacks. Sareena Karapoola, Nikhilesh Singh, Chester Rebeiro, V. Kamakoti |
| 2022 | Rank List Sensitivity of Recommender Systems to Interaction Perturbations. Sejoon Oh, Berk Ustun, Julian J. McAuley, Srijan Kumar |
| 2022 | Rank-Aware Gain-Based Evaluation of Extractive Summarization. Mousumi Akter |
| 2022 | Rationale Aware Contrastive Learning Based Approach to Classify and Summarize Crisis-Related Microblogs. Thi Huyen Nguyen, Koustav Rudra |
| 2022 | ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun |
| 2022 | ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models. Ziheng Chen, Fabrizio Silvestri, Jia Wang, He Zhu, Hongshik Ahn, Gabriele Tolomei |
| 2022 | ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang |
| 2022 | Real-time Short Video Recommendation on Mobile Devices. Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai |
| 2022 | RealGraph Myung-Hwan Jang, Yun-Yong Ko, Dongkyu Jeong, Jeong-Min Park, Sang-Wook Kim |
| 2022 | RecBole 2.0: Towards a More Up-to-Date Recommendation Library. Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen |
| 2022 | Reinforced Continual Learning for Graphs. Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama, Marcus de Carvalho |
| 2022 | Relation-aware Blocking for Scalable Recommendation Systems. Huizhi Liang, Zehao Liu, Thanet Markchom |
| 2022 | Relational Self-Supervised Learning on Graphs. Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park |
| 2022 | RelpNet: Relation-based Link Prediction Neural Network. Ensen Wu, Hongyan Cui, Zunming Chen |
| 2022 | Representation Matters When Learning From Biased Feedback in Recommendation. Teng Xiao, Zhengyu Chen, Suhang Wang |
| 2022 | Residual Correction in Real-Time Traffic Forecasting. DaeJin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo |
| 2022 | Rethinking Conversational Recommendations: Is Decision Tree All You Need? A. S. M. Ahsan-Ul-Haque, Hongning Wang |
| 2022 | Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models. Jinbo Song, Ruoran Huang, Xinyang Wang, Wei Huang, Qian Yu, Mingming Chen, Yafei Yao, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao |
| 2022 | Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation. Yoonhyuk Choi, Jiho Choi, Taewook Ko, HyungHo Byun, Chong-Kwon Kim |
| 2022 | Revisiting Cold-Start Problem in CTR Prediction: Augmenting Embedding via GAN. Xuxin Zhang, Di Wang, Dehong Gao, Wen Jiang, Wei Ning, Yang Zhou, Chen Wang |
| 2022 | Risk-Aware Bid Optimization for Online Display Advertisement. Rui Fan, Erick Delage |
| 2022 | Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation. Jun Zhuang, Mohammad Al Hasan |
| 2022 | Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels. Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner |
| 2022 | Robust Semi-supervised Domain Adaptation against Noisy Labels. Can Qin, Yizhou Wang, Yun Fu |
| 2022 | Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun |
| 2022 | RobustFed: A Truth Inference Approach for Robust Federated Learning. Farnaz Tahmasebian, Jian Lou, Li Xiong |
| 2022 | Robustness of Sketched Linear Classifiers to Adversarial Attacks. Ananth Mahadevan, Arpit Merchant, Yanhao Wang, Michael Mathioudakis |
| 2022 | RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu |
| 2022 | SASNet: Stage-aware Sequential Matching for Online Travel Recommendation. Fanwei Zhu, Zulong Chen, Fan Zhang, Jiazhen Lou, Hong Wen, Shui Liu, Qi Rao, Tengfei Yuan, Shenghua Ni, Jinxin Hu, Fuzhen Sun, Quan Lu |
| 2022 | SCC - A Test Collection for Search in Chat Conversations. Ismail Sabei, Ahmed Mourad, Guido Zuccon |
| 2022 | SEERa: A Framework for Community Prediction. Soroush Ziaeinejad, Saeed Samet, Hossein Fani |
| 2022 | SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features. Irfan Al-Hussaini, Cassie S. Mitchell |
| 2022 | SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis. Jia Li, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao, Chongyang Tao |
| 2022 | SPOT: Knowledge-Enhanced Language Representations for Information Extraction. Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu |
| 2022 | ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction. Junho Song, Jiwon Son, Dong-Hyuk Seo, Kyungsik Han, Namhyuk Kim, Sang-Wook Kim |
| 2022 | STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng |
| 2022 | SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine |
| 2022 | SWAG-Net: Semantic Word-Aware Graph Network for Temporal Video Grounding. Sunoh Kim, Taegil Ha, Kimin Yun, Jin Young Choi |
| 2022 | Samba: Identifying Inappropriate Videos for Young Children on YouTube. Le Binh, Rajat Tandon, Chingis Oinar, Jeffrey Liu, Uma Durairaj, Jiani Guo, Spencer Zahabizadeh, Sanjana Ilango, Jeremy Tang, Fred Morstatter, Simon S. Woo, Jelena Mirkovic |
| 2022 | Sampling Enclosing Subgraphs for Link Prediction. Paul Louis, Shweta Ann Jacob, Amirali Salehi-Abari |
| 2022 | Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction. Yue Cao, Xiaojiang Zhou, Jiaqi Feng, Peihao Huang, Yao Xiao, Dayao Chen, Sheng Chen |
| 2022 | Scalable Graph Representation Learning via Locality-Sensitive Hashing. Xiusi Chen, Jyun-Yu Jiang, Wei Wang |
| 2022 | Scalable Graph Sampling on GPUs with Compressed Graph. Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui |
| 2022 | Scalable Multiple Kernel Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Xuelong Li |
| 2022 | Scaling Up Mass-Based Clustering. Nidhi Ahlawat, Amit Awekar |
| 2022 | Scaling Up Maximal Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang |
| 2022 | Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng |
| 2022 | Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang |
| 2022 | ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction. Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Ognjen Savkovic, Egor V. Kostylev, Evgeny Kharlamov |
| 2022 | SciTweets - A Dataset and Annotation Framework for Detecting Scientific Online Discourse. Salim Hafid, Sebastian Schellhammer, Sandra Bringay, Konstantin Todorov, Stefan Dietze |
| 2022 | See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction. Shiwei Lyu, Hongbo Cai, Chaohe Zhang, Shuai Ling, Yue Shen, Xiaodong Zeng, Jinjie Gu, Guannan Zhang, Haipeng Zhang |
| 2022 | Selective Tensorized Multi-layer LSTM for Orbit Prediction. Youjin Shin, Eun-Ju Park, Simon S. Woo, Okchul Jung, Daewon Chung |
| 2022 | Selectively Expanding Queries and Documents for News Background Linking. Lirong Zhang, Hideo Joho, Sumio Fujita, Hai-Tao Yu |
| 2022 | Self-Paced and Discrete Multiple Kernel Yihang Lu, Xuan Zheng, Jitao Lu, Rong Wang, Feiping Nie, Xuelong Li |
| 2022 | Self-Supervised Learning for Recommendation. Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin |
| 2022 | Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu |
| 2022 | Semi-Supervised Learning with Data Augmentation for Tabular Data. Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu |
| 2022 | Semi-supervised Continual Learning with Meta Self-training. Stella Ho, Ming Liu, Lan Du, Yunfeng Li, Longxiang Gao, Shang Gao |
| 2022 | Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion. Chaoqi Yang, Ruijie Wang, Shuochao Yao, Tarek F. Abdelzaher |
| 2022 | Semorph: A Morphology Semantic Enhanced Pre-trained Model for Chinese Spam Text Detection. Kaiting Lai, Yinong Long, Bowen Wu, Ying Li, Baoxun Wang |
| 2022 | Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups. Hitarth Narvala, Graham McDonald, Iadh Ounis |
| 2022 | Sentaur: Sensor Observable Data Model for Smart Spaces. Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma, Roberto Yus, Nalini Venkatasubramanian |
| 2022 | Sequence Prediction under Missing Data: An RNN Approach without Imputation. Soumen Pachal, Avinash Achar |
| 2022 | Sequence-Driven Analytics and Prediction. Usman Ahmed |
| 2022 | Serpens: Privacy-Preserving Inference through Conditional Separable of Convolutional Neural Networks. Longlong Sun, Hui Li, Yanguo Peng, Jiangtao Cui |
| 2022 | Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smooth. Yilin Kang, Yong Liu, Jian Li, Weiping Wang |
| 2022 | Shoe Size Resolution in Search Queries and Product Listings using Knowledge Graphs. Petar Ristoski, Aritra Mandal, Simon Becker, Anu Mandalam, Ethan Hart, Sanjika Hewavitharana, Zhe Wu, Qunzhi Zhou |
| 2022 | Simulating Complex Problems Inside a Database. Giancarlo Fissore, Nikolaos Vasiloglou |
| 2022 | Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data. Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren |
| 2022 | Sliding Cross Entropy for Self-Knowledge Distillation. Hanbeen Lee, Jeongho Kim, Simon S. Woo |
| 2022 | Smart Contract Scams Detection with Topological Data Analysis on Account Interaction. Shuhui Fan, Shaojing Fu, Yuchuan Luo, Haoran Xu, Xuyun Zhang, Ming Xu |
| 2022 | SmartIndex: An Index Advisor with Learned Cost Estimator. Jianling Gao, Nan Zhao, Ning Wang, Shuang Hao |
| 2022 | SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang |
| 2022 | SoCRATe: A Recommendation System with Limited-Availability Items. Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia |
| 2022 | Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut |
| 2022 | SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher. Aibo Guo, Xinyi Li, Guanchen Xiao, Zhen Tan, Xiang Zhao |
| 2022 | SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval. Eunseong Choi, Sunkyung Lee, Minjin Choi, Hyeseon Ko, Young-In Song, Jongwuk Lee |
| 2022 | Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang |
| 2022 | Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu |
| 2022 | Spatio-temporal Trajectory Learning using Simulation Systems. Daniel Glake, Fabian Panse, Ulfia Lenfers, Thomas Clemen, Norbert Ritter |
| 2022 | Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li |
| 2022 | Spherical Graph Embedding for Item Retrieval in Recommendation System. Wenqiao Zhu, Yesheng Xu, Xin Huang, Qiyang Min, Xun Zhou |
| 2022 | Statistical Claim Checking: StatCheck in Action. Oana Balalau, Simon Ebel, Théo Galizzi, Ioana Manolescu, Quentin Massonnat, Antoine Deiana, Emilie Gautreau, Antoine Krempf, Thomas Pontillon, Gérald Roux, Joanna Yakin |
| 2022 | Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations. Helia Hashemi, Hamed Zamani, W. Bruce Croft |
| 2022 | Stop&Hop: Early Classification of Irregular Time Series. Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner |
| 2022 | SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. Zhenning Zhang, Boxin Du, Hanghang Tong |
| 2022 | Sub-Task Imputation via Self-Labelling to Train Image Moderation Models on Sparse Noisy Data. Indraneil Paul, Sumit Negi |
| 2022 | Subspace Co-clustering with Two-Way Graph Convolution. Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2022 | SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen |
| 2022 | Synerise Monad - Real-Time Multimodal Behavioral Modeling. Jacek Dabrowski, Barbara Rychalska |
| 2022 | System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems. Liangyi Huang, Sophia Hall, Fei Shao, Arafath Nihar, Vipin Chaudhary, Yinghui Wu, Roger H. French, Xusheng Xiao |
| 2022 | TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun |
| 2022 | THECOG 2022 - Transforms In Behavioral And Affective Computing (Revisited). Georgios Drakopoulos, Eleanna Kafeza |
| 2022 | TSUPY: Dynamic Climate Network Analysis Library. Jinshu Liu, Yunlong Xu, Fatemeh Nargesian, Gourab Ghoshal |
| 2022 | Target Interest Distillation for Multi-Interest Recommendation. Chenyang Wang, Zhefan Wang, Yankai Liu, Yang Ge, Weizhi Ma, Min Zhang, Yiqun Liu, Junlan Feng, Chao Deng, Shaoping Ma |
| 2022 | Targeted Influence with Community and Gender-Aware Seeding. Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang |
| 2022 | Task Assignment with Federated Preference Learning in Spatial Crowdsourcing. Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao, Kai Zheng |
| 2022 | Task Publication Time Recommendation in Spatial Crowdsourcing. Xuanlei Chen, Yan Zhao, Kai Zheng |
| 2022 | Task Similarity Aware Meta Learning for Cold-Start Recommendation. Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo |
| 2022 | Taxonomy-Enhanced Graph Neural Networks. Lingjun Xu, Shiyin Zhang, Guojie Song, Junshan Wang, Tianshu Wu, Guojun Liu |
| 2022 | Temporal Contrastive Pre-Training for Sequential Recommendation. Changxin Tian, Zihan Lin, Shuqing Bian, Jinpeng Wang, Wayne Xin Zhao |
| 2022 | Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang |
| 2022 | Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network. Shiyin Tan, Jingyi You, Dongyuan Li |
| 2022 | Texture BERT for Cross-modal Texture Image Retrieval. Zelai Xu, Tan Yu, Ping Li |
| 2022 | The 1st International Workshop on Federated Learning with Graph Data (FedGraph). Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr |
| 2022 | The 2nd Workshop on Mixed-Initiative ConveRsatiOnal Systems (MICROS). Ida Mele, Cristina Ioana Muntean, Mohammad Aliannejadi, Nikos Voskarides |
| 2022 | The Interaction Graph Auto-encoder Network Based on Topology-aware for Transferable Recommendation. Ruiyun Yu, Kang Yang, Bingyang Guo |
| 2022 | The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation. Saber Zerhoudi, Sebastian Günther, Kim Plassmeier, Timo Borst, Christin Seifert, Matthias Hagen, Michael Granitzer |
| 2022 | The Third Workshop on Data-driven Intelligent Transportation. Hua Wei, Guni Sharon, Cathy Wu, Sanjay Chawla, Zhenhui Li |
| 2022 | Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue |
| 2022 | Time Lag Aware Sequential Recommendation. Lihua Chen, Ning Yang, Philip S. Yu |
| 2022 | TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices. Tomasz Szydlo, Prem Prakash Jayaraman, Yinhao Li, Graham Morgan, Rajiv Ranjan |
| 2022 | Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu |
| 2022 | Towards Confidence-aware Calibrated Recommendation. Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli |
| 2022 | Towards Edge-Cloud Collaborative Machine Learning: A Quality-aware Task Partition Framework. Zimu Zheng, Yunzhe Li, Han Song, Lanjun Wang, Fei Xia |
| 2022 | Towards Fair Workload Assessment via Homogeneous Order Grouping in Last-mile Delivery. Wenjun Lyu, Kexin Zhang, Baoshen Guo, Zhiqing Hong, Guang Yang, Guang Wang, Yu Yang, Yunhuai Liu, Desheng Zhang |
| 2022 | Towards Fairer Classifier via True Fairness Score Path. Bin Gu, Zhou Zhai, Xiang Li, Heng Huang |
| 2022 | Towards Federated Learning against Noisy Labels via Local Self-Regularization. Xuefeng Jiang, Sheng Sun, Yuwei Wang, Min Liu |
| 2022 | Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints. Zhengqing Gao, Huimin Wu, Martin Takác, Bin Gu |
| 2022 | Towards Principled User-side Recommender Systems. Ryoma Sato |
| 2022 | Towards Robust False Information Detection on Social Networks with Contrastive Learning. Guanghui Ma, Chunming Hu, Ling Ge, Junfan Chen, Hong Zhang, Richong Zhang |
| 2022 | Towards Self-supervised Learning on Graphs with Heterophily. Jingfan Chen, Guanghui Zhu, Yifan Qi, Chunfeng Yuan, Yihua Huang |
| 2022 | Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models. Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng |
| 2022 | Towards a Learned Cost Model for Distributed Spatial Join: Data, Code & Models. Tin Vu, Alberto Belussi, Sara Migliorini, Ahmed Eldawy |
| 2022 | Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability. Shahroz Tariq, Binh Minh Le, Simon S. Woo |
| 2022 | Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training. Qianxiong Xu, Sijie Ruan, Cheng Long, Liang Yu, Chen Zhang |
| 2022 | TrajFormer: Efficient Trajectory Classification with Transformers. Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann |
| 2022 | TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury |
| 2022 | TrustLOG: The First Workshop on Trustworthy Learning on Graphs. Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou |
| 2022 | Trusted Media Challenge Dataset and User Study. Weiling Chen, Sheng Lun Benjamin Chua, Stefan Winkler, See-Kiong Ng |
| 2022 | Tutorial on Deep Learning Interpretation: A Data Perspective. Zhou Yang, Ninghao Liu, Xia Ben Hu, Fang Jin |
| 2022 | Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2022 | Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference. Rongmei Zhao, Shenggen Ju, Jian Peng, Ning Yang, Fanli Yan, Siyu Sun |
| 2022 | UDM: A Unified Deep Matching Framework in Recommender Systems. Long Guo, Fei Fang, Binqiang Zhao, Bin Cui |
| 2022 | UnCommonSense: Informative Negative Knowledge about Everyday Concepts. Hiba Arnaout, Simon Razniewski, Gerhard Weikum, Jeff Z. Pan |
| 2022 | Unanswerable Question Correction and Explanation over Personal Knowledge Base. An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2022 | Unbiased Learning to Rank with Biased Continuous Feedback. Yi Ren, Hongyan Tang, Siwen Zhu |
| 2022 | Unified Knowledge Prompt Pre-training for Customer Service Dialogues. Keqing He, Jingang Wang, Chaobo Sun, Wei Wu |
| 2022 | Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu |
| 2022 | Unsupervised Question Clarity Prediction through Retrieved Item Coherency. Negar Arabzadeh, Mahsa Seifikar, Charles L. A. Clarke |
| 2022 | Unsupervised Representation Learning on Attributed Multiplex Network. Rui Zhang, Arthur Zimek, Peter Schneider-Kamp |
| 2022 | Urban Region Profiling via Multi-Graph Representation Learning. Yan Luo, Fu-Lai Chung, Kai Chen |
| 2022 | User Recommendation in Social Metaverse with VR. Bing-Jyue Chen, De-Nian Yang |
| 2022 | Utilizing Contrastive Learning To Address Long Tail Issue in Product Categorization. Lei Chen, Tianqi Wang |
| 2022 | Visual Encoding and Debiasing for CTR Prediction. Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng |
| 2022 | Visual Exploration of Literature with Argo Scholar. Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau |
| 2022 | WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records. Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee |
| 2022 | WDRASS: A Web-scale Dataset for Document Retrieval and Answer Sentence Selection. Zeyu Zhang, Thuy Vu, Sunil Gandhi, Ankit Chadha, Alessandro Moschitti |
| 2022 | Weakly-Supervised Online Hashing with Refined Pseudo Tags. Chenlu Ding, Xin Luo, Xiao-Ming Wu, Yu-Wei Zhan, Rui Li, Hui Zhang, Xin-Shun Xu |
| 2022 | When Should We Use Linear Explanations? Julien Delaunay, Luis Galárraga, Christine Largouët |
| 2022 | Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings. Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen |
| 2022 | Workshop on Human-in-the-loop Data Curation. Gianluca Demartini, Jie Yang, Shazia Sadiq |
| 2022 | Workshop on Proactive and Agent-Supported Information Retrieval (PASIR). Gareth J. F. Jones, Procheta Sen, Debasis Ganguly, Emine Yilmaz |
| 2022 | X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong |
| 2022 | X-Vision: Explainable Image Retrieval by Re-Ranking in Semantic Space. Sayantan Polley, Subhajit Mondal, Venkata Srinath Mannam, Kushagra Kumar, Subhankar Patra, Andreas Nürnberger |
| 2022 | e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce. Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song |
| 2022 | eDental: Managing Your Dental Care in Diet Diaries. Kaiping Zheng, Thao Nguyen, Changshuo Liu, Charlene Enhui Goh, Beng Chin Ooi |
| 2022 | exML: An Explainable Maximum Likelihood Tool for Proportion Estimation in DNA Data. Amit Bergman, Viviane Slon, Daniel Deutch |
| 2022 | gCBO: A Cost-based Optimizer for Graph Databases. Linglin Yang, Lei Yang, Yue Pang, Lei Zou |
| 2022 | ranx.fuse: A Python Library for Metasearch. Elias Bassani, Luca Romelli |
| 2022 | ℘-MinHash Algorithm for Continuous Probability Measures: Theory and Application to Machine Learning. Ping Li, Xiaoyun Li, Gennady Samorodnitsky |